CASE STUDIES
A set of case studies documenting collaborative experiments with faculty—using AI to co-design assignments, refine workflows, and test discipline-specific teaching use cases.
ART / DESIGN
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Task / Conflict
The original Line Quality and Mark-Making assignment clearly defined technical goals (pressure, variation, control) but lacked emotional engagement and a strong sense of purpose. Students often completed it mechanically without connecting technique to expression or meaning.Solution
We redesigned the lesson into a multi-part, experiential structure emphasizing expressive exploration and sensory engagement. Activities such as the “Line Orchestra” (translating sounds into line), “Mood Drawing Challenge” (visualizing emotions), and collaborative mark-making exercises encouraged students to embody line quality as a form of communication. We added reflection prompts for critique to link the drawings to mood, rhythm, and storytelling.Overall Impact
Students became more invested in the assignment, showing greater confidence in experimentation and a stronger understanding of how formal control affects tone and message. The project evolved from a technical drill into an expressive foundation for later work with gestures.Key Learnings
Sensory translation (sound, movement, emotion) builds creative empathy.
Reflection questions turn technical exercises into meaning-making opportunities.
Collaborative activities increase motivation and reinforce visual vocabulary retention
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Task / Conflict
The original perspective drawing assignment was highly technical but often isolating; students became overwhelmed by precision and spatial complexity. Engagement dropped mid-project, and compositions lacked imaginative depth.Solution
We transformed the project into a large-scale collaborative challenge. Teams of three co-designed a 36"×60" environment with multiple vanishing points and narrative cohesion. Requirements included consistent architecture, two staircases, an animal, and believable scale. The production aspect of the in class challenge incorporated various QR codes to link directly to professor instructional videos as well as other educators approach to solve the perspective challenges.Overall Impact
Team-based design reintroduced energy and play into the technical process. Students developed stronger compositional logic and visual problem-solving skills. Incorporating AI in the planning phase made their collaborative workflow smooth and help them balance time and creativity while learning concepts and ethical use of technology.Key Learnings
Collaborative complexity motivates higher technical standards.
AI breakdown of complex aids can make perspective more accessible without replacing hand skill.
Large-scale, time-bound group projects simulate professional studio workflows.
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Task / Conflict
Students designing social-issue campaigns often prioritized visual style over conceptual clarity and accessibility. Faculty sought ways to promote critical dialogue about audience, message, and ethics.Solution
We built a 30–35 minute interactive classroom simulation where students assumed roles: Designer, Advocate, Audience Member, and Accessibility Checker. Each role guided design critique from a distinct point of view. A faculty-facing AI guide explained how ChatGPT could prompt follow-up questions (e.g., “How might color contrast affect visibility for low-vision users?”) to enhance reflective thinking.Overall Impact
Students gained a more nuanced understanding of design as social communication. Faculty found that the role-play produced more authentic critiques and led to measurable improvements in design reasoning and inclusivity.Key Learnings
Structured role-play activates empathy and critical literacy.
AI guidance enhances facilitation consistency across sections.
Shifting critique from “what looks good” to “who it serves” strengthens impact.
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Task / Conflict
A faculty member wanted a stronger way to get every student actively engaged with the film - Exit Through the Gift Shop—not just watching passively, but thinking critically about authenticity, hype, institutions, and value in contemporary art. The challenge was turning a film screening into something social, structured, and high-participation, while still leaving room for humor, personality, and creative agency.Solution
We reframed the screening as a role-play viewing + debate, giving groups clear “identities” (Street Artists, Art Collectors, Museum Curators, Casual Audience, Critics/Journalists, Entrepreneurs) and role-specific prompts that force interpretation “in character.” Students then prepared three bold claims per group and carried those into a full-class share-out debate—staying in role to argue, challenge, and defend positions. After the discussion, the experience extended into a creative response homework: students produced an original “remix” artwork in the style/vibe of an artist from the film, anchored by the conceptual prompt of the title Exit Through the Gift Shop.Overall Impact / Outcomes
Excellent outcomes: full participation, with students engaging eagerly in the revised version.
Stronger energy and ownership: the role-play format created immediate permission to speak (and disagree) because students weren’t “speaking as themselves,” they were representing a position.
Faculty experience improved: the instructor described the revised approach as “more fun,” suggesting the structure increased not only student engagement but also teaching enjoyment and classroom momentum.
Key Learnings
Role-based framing reduces fear of being “wrong.” Students take intellectual risks more readily when they’re “performing a perspective.”
Debate works best with constraints. Requiring three bold claims pushes clarity, specificity, and stakes—without needing a formal essay to generate critical thinking.
Sequencing matters: film → role notes → group sharpen → public share-out → creative remix creates a tight loop from analysis to making, reinforcing that interpretation and production are connected.
“Playful” can still be rigorous. The humor (“roast,” “banter,” “outrageous claims”) isn’t fluff—it’s a strategy for participation, memory, and critical posture.
My AI implementations
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Concept: Students submit a drawing and write the critique as if Rembrandt is looking over their shoulder.
Deliverables
A drawing (portrait, figure, or still life)
A “Rembrandt critique sheet” with sections like:
Light logic: Where is the strongest light coming from?
Hierarchy: What area deserves the most clarity?
Edges: Where should the drawing disappear?
Truth vs beauty: What did you idealize or avoid?
Material honesty: Does this feel like charcoal/chalk/ink?
A second pass of the drawing (same piece, improved)
Critique rule
Rembrandt is not “nice,” but he is precise. No vague comments allowed.
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Invented Environment & Perspective Group Project
Task / Conflict
The original perspective drawing assignment was highly technical but often isolating; students became overwhelmed by precision and spatial complexity. Engagement dropped mid-project, and compositions lacked imaginative depth.Solution
We transformed the project into a large-scale collaborative challenge. Teams of three co-designed a 36"×60" environment with multiple vanishing points and narrative cohesion. Requirements included consistent architecture, two staircases, an animal, and believable scale. Later iterations integrated AI-assisted world-building inspired by Steve McDonald’s methods—students used generative tools for concept exploration while maintaining hand-drawn fidelity.Overall Impact
Team-based design reintroduced energy and play into the technical process. Students developed stronger compositional logic and visual problem-solving skills. Incorporating AI visualization helped them balance realism and creativity while learning ethical use of technology.Key Learnings
Collaborative complexity motivates higher technical standards.
AI visual aids can demystify perspective without replacing hand skill.
Large-scale, time-bound projects simulate professional studio workflows.
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Practical uses of AI in Figure Drawing (examples from my teaching workflow)
Gesture → Motion: Animated Figure Study (In-class assignment design)
I used AI to turn traditional gesture drawing into a structured animation activity—helping students translate poses into keyframes and in-betweens, plan timing, and reflect on motion, rhythm, and clarity through critique prompts and a simple rubric. (Used Mid-journey)Anatomy instruction support: landmarks, structure, and foreshortening
I used AI to strengthen how I teach anatomy by generating clear landmark checklists, short practice drills, and prompts that help students connect gesture to structure (rib cage/pelvis relationship, joints, proportion) while reducing over-reliance on photo reference. (Used Google Gemini free version)First-day / warm-up activity design: dynamic gesture + key landmarks
I used AI to design an engaging first-day group activity that quickly builds confidence: timed gesture rounds, identifying major landmarks, group sharing, and reflection prompts that set expectations for observation, experimentation, and critique. (Used ChatGPT)
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2D Design “Studio Simulator”: concept → thumbnails → critique → revision
I used AI to prototype a structured “studio simulator” for 2D Design that helps students move from an initial concept to a finished composition. The AI supports idea generation, suggests thumbnail variations, runs form-focused critiques (value, figure/ground, hierarchy, rhythm, grid, contrast, Gestalt), and guides iterative revision—ending with a short “to do list and reflection on design decisions (used Google Gemini) -
General ED
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TBA
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The AI-Enhanced Autobiographical Interview (Sociology)
Task / Conflict
In an introductory sociology course, students struggled to connect personal experience with sociological theory. Traditional reflective essays produced surface-level narratives lacking analytical depth.Solution
We created a ChatGPT-based interview process where students used AI as a reflective dialogue partner. Prompts guided them through autobiographical storytelling—examining family, class, education, and life transitions. ChatGPT’s probing questions helped reveal sociological themes (agency, structure, identity). A final synthesis step had students compare their story to peers, fostering collective analysis.Overall Impact
Students reported that the AI interviews “made them think differently” about their lives. Many drew deeper connections between individual choices and systemic influences. Faculty noted improvements in reflective writing and classroom discussion quality.Key Learnings
AI can act as a scaffold for reflection, modeling critical inquiry.
Open-ended conversational prompts promote authenticity and engagement.
Comparing AI-guided reflections fosters community and deepens sociological insight.
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Cyber security